Keras vs Databricks
A comprehensive head-to-head comparison of two leading machine learning & data science solutions in 2026. Compare features, pricing, ratings, and more to find the right fit.
Quick Verdict
Choose Keras if you need Sequential and Functional API and prefer a free starting option. Choose Databricks if you prioritize Delta Lake and want a free tier to start. Keras has a higher user rating (4.6 vs 4.5).
Keras vs Databricks: At a Glance
| Criteria | Keras | Databricks |
|---|---|---|
| User Rating | 4.6 | 4.5 |
| Pricing | Free | Free |
| Pricing Model | open-source | pay-as-you-go |
| Free Plan | ||
| Platforms | Linux, Mac, Windows | Web, Aws, Azure, Gcp |
| Category | Machine Learning & Data Science | Machine Learning & Data Science |
| Founded | 1998 | 2013 |
Feature Comparison: Keras vs Databricks
| Feature | Keras | Databricks |
|---|---|---|
| Sequential and Functional API | ||
| Pre-built neural network layers | ||
| Model training and evaluation | ||
| Transfer learning | ||
| Model serialization | ||
| TensorFlow | ||
| JAX | ||
| PyTorch | ||
| Linux support | ||
| Mac support | ||
| Windows support | ||
| Delta Lake | ||
| Apache Spark | ||
| MLflow | ||
| Unity Catalog | ||
| Photon Engine | ||
| Collaborative Notebooks | ||
| Auto-scaling | ||
| AWS | ||
| Azure | ||
| GCP | ||
| Tableau | ||
| Power BI | ||
| Web support | ||
| Aws support | ||
| Azure support |
Keras vs Databricks: Pricing Breakdown
Keras Pricing
Model: open-source
- High-level API
- Pre-built layers
- Model serialization
Databricks Pricing
Model: pay-as-you-go
- Limited cluster
- Notebook environment
- Community support
- Jobs compute
- SQL compute
- Standard support
Pros and Cons
Keras
Pros
- Highly rated by users (4.6/5)
- Free plan available to get started
- Available on 3 platforms (Linux, Mac, Windows)
- Rich feature set with 11+ capabilities
- Strong Sequential and Functional API functionality
- Strong Pre-built neural network layers functionality
Cons
- May require time to learn advanced features
Databricks
Pros
- Highly rated by users (4.5/5)
- Free plan available to get started
- Available on 4 platforms (Web, Aws, Azure, Gcp)
- Rich feature set with 15+ capabilities
- Strong Delta Lake functionality
- Strong Apache Spark functionality
Cons
- May require time to learn advanced features
Who Should Use Keras vs Databricks?
Choose Keras if you:
- Need Sequential and Functional API
- Want to start for free
- Work primarily on Linux and Mac
- Value Pre-built neural network layers
Choose Databricks if you:
- Need Delta Lake
- Want to start for free
- Work primarily on Web and Aws
- Value Apache Spark
Frequently Asked Questions: Keras vs Databricks
Is Keras better than Databricks?
It depends on your needs. Keras has a 4.6/5 user rating while Databricks has 4.5/5. Keras excels in Sequential and Functional API and Pre-built neural network layers, while Databricks stands out with Delta Lake and Apache Spark. Consider your budget (Free vs Free), platform needs, and specific feature requirements.
Which is cheaper, Keras or Databricks?
Keras offers a free plan and starts at Free. Databricks offers a free plan and starts at Free. Compare the specific plan features to determine the best value for your use case.
Can I use Keras and Databricks together?
While both are machine learning & data science tools, some teams use complementary software together. Check each product's API and integration capabilities for compatibility. However, most users find that one solution covers their core machine learning & data science needs.
What are the main differences between Keras and Databricks?
The key differences include: pricing model (open-source vs pay-as-you-go), platform support (Linux, Mac, Windows vs Web, Aws, Azure, Gcp), and feature focus. Keras emphasizes Sequential and Functional API, Pre-built neural network layers, Model training and evaluation while Databricks focuses on Delta Lake, Apache Spark, MLflow. User ratings differ slightly: 4.6 vs 4.5 out of 5.
Ready to choose?
Explore detailed reviews, user ratings, and pricing for both Keras and Databricks.